Admittance-Adaptive Model-Based Approach to Mitigate Biodynamic Feedthrough

Joost Venrooij, Max Mulder, Mark Mulder, David A. Abbink, Marinus M. Van Paassen, Frans C.T. Van Der Helm, Heinrich H. Bülthoff

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Biodynamic feedthrough (BDFT) refers to the feedthrough of vehicle accelerations through the human body, leading to involuntary control device inputs. BDFT impairs control performance in a large range of vehicles under various circumstances. Research shows that BDFT strongly depends on adaptations in the neuromuscular admittance dynamics of the human body. This paper proposes a model-based approach of BDFT mitigation that accounts for these neuromuscular adaptations. The method was tested, as proof-of-concept, in an experiment where participants inside a motion simulator controlled a simulated vehicle through a virtual tunnel. Through evaluating tracking performance and control effort with and without motion disturbance active and with and without cancellation active, the effectiveness of the cancellation was evaluated. Results show that the cancellation approach is successful: the detrimental effects of BDFT were largely removed.

Original languageEnglish
Article number7564423
Pages (from-to)4169-4181
Number of pages13
JournalIEEE Transactions on Cybernetics
Issue number12
Publication statusPublished - 2017 Dec


  • Biodynamic feedthrough (BDFT)
  • mitigation
  • neuromuscular adaptation
  • neuromuscular admittance

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering


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